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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Quality Control of Commercial Cocoa Beans (Theobroma cacao L.) by Near-infrared Spectroscopy

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Autor(es):
Hashimoto, Juliana C. [1] ; Lima, Jessica C. [1] ; Celeghini, Renata M. S. [1] ; Nogueira, Alessandra B. [2] ; Efraim, Priscilla [1] ; Poppi, Ronei J. [3] ; Pallone, Juliana A. L. [1]
Número total de Autores: 7
Afiliação do(s) autor(es):
[1] Univ Estadual Campinas, Fac Food Engn, 80 Monteiro Lobato St, BR-13083862 Campinas, SP - Brazil
[2] Pontifical Catholic Univ Campinas, Fac Chem, Campus 1, Km 136 Dom Pedro 1 Rd, BR-13086900 Campinas, SP - Brazil
[3] Univ Estadual Campinas, Inst Chem, BR-13083970 Campinas, SP - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: FOOD ANALYTICAL METHODS; v. 11, n. 5, p. 1510-1517, MAY 2018.
Citações Web of Science: 4
Resumo

This work presents the use of near-infrared (NIR) spectroscopy as a fast and eco-friendly alternative to the conventional methods currently used for the quality control of cocoa beans. A key feature of this study was that the multivariate calibration models were built from the spectra of 81 samples of commercial cocoa beans from different producing regions and sampled over the period of 1 year. This aspect is crucial to demonstrate the feasibility of NIR for predicting chemical parameters of cocoa beans, since it provides a realistic variability in the calibration models. PLS regression models were constructed from the near-infrared diffuse reflectance spectra, allowing the prediction of moisture, pH, acidity, fat, shell content, protein, total phenolic compounds, caffeine, and theobromine through direct analysis of samples milled and sieved without any additional preparation. All of these parameters were predicted with adequate coefficient of determination values (R (2)), which ranged from 0.67 to 0.89 and relative errors smaller than 10.2%, which is quite suitable when compared to the coefficients of variation of the reference methods. Thus, the results demonstrated that the use of NIR combined with chemometrics is effective and recommended for the quality control of commercial cocoa beans. (AU)

Processo FAPESP: 12/00206-5 - Proposta de um protocolo para avaliação da qualidade de cacau e derivados: aplicação da espectroscopia no infravermelho próximo e quimiometria
Beneficiário:Priscilla Efraim
Linha de fomento: Auxílio à Pesquisa - Regular